Engineer (f/m/d) - Analysis and optimization of solid-state batteries

Dlr; Ulm; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

DLR invites applications for Engineer (f/m/d) – Analysis and optimization of solid-state batteries in Ulm. The role spans research and development in machine learning-based workflows for battery materials and their aging behavior.

Working at the Institute of Engineering Thermodynamics within HIU, you will contribute to simulation tools, collaborate with partners, and have the opportunity to pursue a PhD while advancing sustainable energy storage technologies.

Qualifikationen

• Master's degree in Engineering, Physics, Chemistry or Mathematics.
• Very good programming skills in Python.
• Strong expertise in machine learning and data-driven modelling.

Aufgaben

• Develop and research ML-based workflows for digital twins of electrode materials and aging analyses.
• Predict failure patterns and capacity loss using physics-informed ML.
• Optimize material and electrode designs for solid-state batteries.
• Collaborate with experimental partners to investigate, optimize, and validate solid-state battery designs.
• Presentation of the results at conferences and publication in scientific journals.

Kenntnisse

Machine learning

Python

Modeling & simulation

Analytical skills

Independent worker

Research passion

English proficiency

Ausbildung

Master's degree in Engineering/Physics/Chemistry/Mathematics

Jobbeschreibung

Engineer (f/m/d) - Analysis and optimization of solid-state batteries Language Profile

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Vacancy-ID: 4886
Place of work: Ulm
Starting date: 01.07.2026
Career level: Doctorate
Type of employment: Part time; Full-time
Duration of contract: 3 Jahre
Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

Short Description of Institute/Facility - At the Institute of Engineering Thermodynamics we investigate the energy storage systems of today and tomorrow.

The Department of Computational Electrochemistry located at the Helmholtz Institute Ulm for Electrochemical Energy Storage (HIU) develops new theories and tools for the simulative investigation of battery materials and cells. As a member of an internationally leading research team in the field of battery simulation, you will make, together with our partners in industry and academia, an important contribution to the understanding and optimization of this key technology. We offer you an attractive environment to conduct your cutting‑edge research, room for your own ideas and the possibility to receive a PhD.

Your tasks

• Development and research on machine learning-based workflows for generating digital twins of electrode materials and performing virtual analyses of aging mechanisms using physico-chemical models
• Predicting failure patterns and capacity loss using physics-informed machine learning approaches
• Optimization of material and electrode designs for solid-state batteries
• Collaboration on projects with experimental partners to investigate, optimize, and validate solid-state battery designs
• Presentation of the results at conferences and publication in scientific journals

Your skills

• Excellent analytical skills demonstrated by a master’s degree in Engineering, Physics, Chemistry or Mathematics
• Strong expertise in machine learning
• Profound knowledge of the theory, modeling and simulation of physical processes
• A strong motivation to develop theories and digital tools and put them into practice
• Very good programming skills in Python
• Independent and results‑oriented style of working
• Passion for innovative research
• Proficient English language skills

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 4886) please contact:

Dr. Timo Danner
Tel.:[phone]